现代电影技术Issue(9)：44-53,10.DOI:10.3969/j.issn.1673-3215.2025.09.006
AI视频生成管线的质量控制方法与版权保护应用实践
Quality control method and copyright protection application practice in AI video generation pipelines
摘要
Abstract
AI technologies are permeating every aspect of film and television production,yet practical deployment still faces technical barriers.Moreover,inadequate human-AI collaboration mechanisms often result in numerous quality defects and copyright concerns in AI-generated video content.This paper proposes a quality control(QC)methodology for AI video generation pipelines,featuring multi-dimensional,shot-level evaluation.The approach incorporates common metrics such as learned perceptual image patch similarity(LPIPS),structural similarity index measure(SSIM),end-point error(EPE)for optical flow,and Fréchet video distance(FVD).Three-tiered threshold zones are established,which include pass,human review,and rollback;borderline cases are re-examined through human-in-the-loop processes to ensure consistency,tem-poral coherence,motion accuracy,and overall image quality in AI-generated outputs.Furthermore,the pipeline integrates the Coalition for Content Provenance and Authenticity(C2PA)standard with embedded metadata,binding source materials and the edit chain to each export,and generating a verifiable hash for full traceability of the evidence chain.This method has been successfully applied to the commercial advertising case Dreams and Directions.Results demonstrate that the proposed QC framework enhances the stability,reproducibility,and auditability of AI video generation pipelines,and offers valuable insights for the scalable,industrialized production of AI-generated video content.关键词
AIGC/影视制作/工程化管线/质量控制/版权保护Key words
AIGC/Film and Television Production/Engineering Pipeline/Quality Control/Copyright Protection分类
信息技术与安全科学引用本文复制引用
高锐,王用玺,杨伟策..AI视频生成管线的质量控制方法与版权保护应用实践[J].现代电影技术,2025,(9):44-53,10.基金项目
山西省社科联2025年度重点课题"智能时代背景下艺术教育赋能廉洁文化建设的路径研究"(SSKLZDKT2025159) （SSKLZDKT2025159）
浙江省高职教育"十四五"第一批教学改革项目"地校协同、三化互融:产教融合培养新时代影视制作人才路径研究"(IG20230447) （IG20230447）
金华市2025年度教育科学规划研究课题"智能生成内容(AIGC)技术在影视制作职业教育中的实践与对策研究"(JB2025065). （AIGC）
